TOP Tournaments
Show more

Odense - Silkeborg 03.05.2026

Next match Silkeborg - Odense on 10/08/2026

Odense OBK

Match details

Silkeborg SIL
Odense OBK

Statistics

Silkeborg SIL
2.56
Expected goals (xG) stat-tooltip-icon Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
1.14
66 %
Ball possession
34 %
6
Big chances stat-tooltip-icon Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.
3
  • 1.4
  • Goals scored per match
  • 1.5
  • 1.5
  • Goals conceded per match
  • 2
  • 31'
  • Minutes/Goal scored
  • 25.7'
Odense OBK

H2H Stats

Silkeborg SIL
  • 0wins
  • 40% 2draws
  • 60% 3wins

Chat

Be the first to leave a comment

Go to chat

Top Scorers



hostName Odense
#
Goals
  • 17 Ganaus N.
    11
  • 7 Arp F.
    10
  • 31 Grot J.
    7
  • 11 Niemiec J.
    5
  • 20 Owusu L.
    4
guestName Silkeborg
#
Goals
  • 23 Adamsen T.
    14
  • 17 McCowatt C.
    11
  • 19 Gammelby J.
    5
  • 10 Bakiz Y.
    2
  • 4 Ganchas P.
    2

Match facts

The most common result of matches between Odense Boldklub and Silkeborg IF when Odense Boldklub is playing at home is 1-1. 7 matches have ended with this result.

The most common result of matches between Odense Boldklub and Silkeborg IF is 1-1. 15 matches have ended with this result.

During the last 32 meetings with Odense Boldklub playing at home, Odense Boldklub have won 15 times, there have been 12 draws while Silkeborg IF have won 5 times. The goal difference is 55-38 in favour of Odense Boldklub.

During the last 71 meetings, Odense Boldklub have won 28 times, there have been 23 draws while Silkeborg IF have won 20 times. The goal difference is 99-90 in favour of Odense Boldklub.

More facts

Predictions

As part of the Superliga (Denmark) tournament, the match between teams Odense and Silkeborg is scheduled. The game will start on 03.05 at 08:00. All sports bettors can follow in-depth Odense Silkeborg betting tips using the subsequent analysis of teams' statistics and prediction for the match.

4 / 10 of her last matches Odense in all competitions ended in defeat

4 / 10 of last matches Odense in Superliga ended in defeat

4 / 10 of last matches Silkeborg in all tournaments ended with her victory

4 / 10 of last matches Silkeborg in Superliga ended with her victory

4 / 10 of last matches between the teams ended in victory Silkeborg

8 / 10 of last matches in all competitions Odense did not draw

Odense OBK

Standings

Silkeborg SIL
# Group Championship Round GP W D L G GD P
1 32 19 10 3 62:32 30 67
2 32 16 12 4 72:36 36 60
# Group Relegation Round GP W D L G GD P
1 32 15 6 11 67:44 23 51
2 32 11 8 13 51:60 -9 41
3 32 10 6 16 41:67 -26 36
4 32 9 8 15 33:47 -14 35
5 32 9 7 16 45:68 -23 34

Player Statistics

Overview
Shots
Attack
Defending
Goalkeeping
Overview
Player Grade Minutes played Goals xG Assists xA Total shots Passes Yellow cards Red cards
player
Arp F.
Forward team
8.1 69 - 0.13 - 0.84 1 29/33(88%) - -
player
McCowatt C.
Midfielder team
8 86 - 0.02 2 0.29 1 22/29(76%) - -
player
Adamsen T.
Forward team
7.9 89 1 0.45 - 0.3 4 27/38(71%) - -
player
Owusu L.
Defender team
7.8 90 - 0.17 - 0.24 3 89/100(89%) - -
player
Ejdum M.
Midfielder team
7.7 86 - 0.18 - 0.53 1 64/78(82%) - -
player
Gammelby J.
Defender team
7.4 90 2 1.08 - 0.01 4 23/28(82%) - -
player
Ganaus N.
Midfielder team
7.3 90 1 0.92 - 0.43 2 17/20(85%) - -
player
Larsen N.
Goalkeeper team
7.3 90 - - - - - 19/23(83%) - -
player
Vikman A.
Midfielder team
7.1 90 - - - 0.02 - 46/49(94%) - -
player
Berger S.
Midfielder team
7 69 - 0.14 1 0.01 2 11/15(73%) - -
player
Falk R.
Midfielder team
7 90 - - - 0.13 - 104/116(90%) - -
player
Ross O.
Forward team
7 21 - - - 0.01 - 5/8(63%) - -
player
Ganchas P.
Defender team
6.7 90 - - - - - 34/38(89%) - -
player
Stuker S.
Defender team
6.7 90 - 0.03 - 0.01 1 28/34(82%) - -
player
Larsen M.
Midfielder team
6.7 21 - - - 0.01 - 13/15(87%) - -
player
Bojang Y.
Defender team
6.6 21 - - - 0.01 - 37/39(95%) - -
player
Niemiec J.
Forward team
6.6 62 - 1.07 1 0.26 3 13/14(93%) - -
player
Suhonen A.
Midfielder team
6.6 45 - - - 0.04 - 26/27(96%) - -
player
McCoy M.
Defender team
6.4 90 - 0.51 - 0.19 1 47/55(85%) - -
player
Grot J.
Forward team
6.3 28 - 0.37 - 0.01 3 8/9(89%) - -
player
Madsen A.
Defender team
6.2 90 - - - 0.01 - 33/39(85%) - -
player
Kirk W.
Midfielder team
6.1 90 - - - 0.04 - 24/30(80%) - -
player
Myhra V.
Goalkeeper team
6.1 90 - - - - - 28/28(100%) - -
player
Westh V.
Midfielder team
6.1 69 - - - 0.01 - 18/27(67%) - -
player
Ouedraogo I.
Midfielder team
5.9 45 - - - 0.01 - 17/21(81%) - -
player
Burgy N.
Defender team
5.5 67 - 0.03 - 0.05 1 89/95(94%) - 1
player
Martin W.
Forward team
- 4 1 0.38 - - 1 6/7(86%) - -
player
Nielsen J.
Midfielder team
- 4 - - - - - 3/3(100%) - -
player
Simmelhack A.
Forward team
- 1 - - - - - 2/4(50%) - -
player
Sorensen A.
Defender team
- 4 - - 1 0.17 - - - -
xG - measures the quality of a scoring chance and the probability of it becoming a goal. It’s calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team’s total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Shots
Player Total shots Shots on target xGOT Shots off target Blocked shots Shots header Shots inside the Box Shots outside the Box
player
Adamsen T.
Forward team
4 3 0.43 - 1 - 3 1
player
Gammelby J.
Defender team
4 3 1.25 1 - - 3 1
player
Grot J.
Forward team
3 2 0.53 - 1 1 2 1
player
Niemiec J.
Forward team
3 - - 3 - 1 3 -
player
Owusu L.
Defender team
3 - - 1 2 - 1 2
player
Berger S.
Midfielder team
2 - - 2 1 - 1 1
player
Ganaus N.
Midfielder team
2 2 1.09 - - - 2 -
player
Arp F.
Forward team
1 - - - 1 - 1 -
player
Burgy N.
Defender team
1 - - - 1 1 1 -
player
Ejdum M.
Midfielder team
1 - - 1 - 1 1 -
player
Martin W.
Forward team
1 1 0.77 - - 1 1 -
player
McCowatt C.
Midfielder team
1 - - 1 - - - 1
player
McCoy M.
Defender team
1 - - 1 - 1 1 -
player
Stuker S.
Defender team
1 - - 1 - - - 1
player
Bojang Y.
Defender team
- - - - - - - -
player
Falk R.
Midfielder team
- - - - - - - -
player
Ganchas P.
Defender team
- - - - - - - -
player
Kirk W.
Midfielder team
- - - - - - - -
player
Larsen M.
Midfielder team
- - - - - - - -
player
Larsen N.
Goalkeeper team
- - - - - - - -
player
Madsen A.
Defender team
- - - - - - - -
player
Myhra V.
Goalkeeper team
- - - - - - - -
player
Nielsen J.
Midfielder team
- - - - - - - -
player
Ouedraogo I.
Midfielder team
- - - - - - - -
player
Ross O.
Forward team
- - - - - - - -
player
Simmelhack A.
Forward team
- - - - - - - -
player
Sorensen A.
Defender team
- - - - - - - -
player
Suhonen A.
Midfielder team
- - - - - - - -
player
Vikman A.
Midfielder team
- - - - - - - -
player
Westh V.
Midfielder team
- - - - - - - -
xGOT - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution — shot placement, goalkeeper position, etc. — after the ball is struck. Only shots on target are included, each valued 0–1. A team’s total xGOT is the sum of all its on-target shots.
Attack
Player Touches in the opposition Box Passes Big chances created Big chances missed Assists xA Passes in final third Touches Passes long Crosses Successful dribbles Fouled Offsides
player
Ejdum M.
Midfielder team
7 64/78(82%) 1 - - 0.53 34/47(72%) 94 1/1(100%) 1/1(100%) 2/2(100%) 2 -
player
Ganaus N.
Midfielder team
7 17/20(85%) 1 1 - 0.43 5/7(71%) 38 - - - - 1
player
Arp F.
Forward team
6 29/33(88%) 2 - - 0.84 17/20(85%) 68 3/3(100%) 7/15(47%) 1/3(33%) 2 -
player
Niemiec J.
Forward team
6 13/14(93%) 1 3 1 0.26 7/8(88%) 24 1/2(50%) - - - -
player
Adamsen T.
Forward team
4 27/38(71%) 1 1 - 0.3 14/18(78%) 68 - - 1/3(20%) 2 -
player
Gammelby J.
Defender team
4 23/28(82%) - 1 - 0.01 4/5(80%) 52 1/2(50%) - - 1 -
player
Berger S.
Midfielder team
2 11/15(73%) 1 - 1 0.01 6/7(86%) 25 - - - - -
player
Grot J.
Forward team
2 8/9(89%) - 2 - 0.01 4/5(80%) 16 - - - - -
player
McCowatt C.
Midfielder team
2 22/29(76%) 1 - 2 0.29 9/11(82%) 44 6/8(75%) - 1/2(50%) 1 -
player
McCoy M.
Defender team
2 47/55(85%) - 1 - 0.19 15/21(71%) 78 3/5(60%) 1/4(25%) 2/2(100%) - -
player
Owusu L.
Defender team
2 89/100(89%) 2 - - 0.24 38/45(84%) 132 4/10(40%) 4/9(44%) 1/2(50%) - -
player
Suhonen A.
Midfielder team
2 26/27(96%) - - - 0.04 12/13(92%) 35 3/3(100%) - - 1 -
player
Burgy N.
Defender team
1 89/95(94%) - - - 0.05 25/29(86%) 101 2/2(100%) - - - -
player
Falk R.
Midfielder team
1 104/116(90%) - - - 0.13 37/45(82%) 130 2/4(50%) - 1/1(100%) - -
player
Ganchas P.
Defender team
1 34/38(89%) - - - - 2/4(50%) 52 2/3(67%) - - - -
player
Kirk W.
Midfielder team
1 24/30(80%) - - - 0.04 8/12(67%) 48 1/3(33%) - 2/2(100%) 3 -
player
Larsen M.
Midfielder team
1 13/15(87%) - - - 0.01 4/4(100%) 17 - - - - -
player
Martin W.
Forward team
1 6/7(86%) - - - - 2/3(67%) 9 - - - 1 -
player
Ross O.
Forward team
1 5/8(63%) - - - 0.01 2/3(67%) 13 1/1(100%) - 2/2(100%) 1 -
player
Vikman A.
Midfielder team
1 46/49(94%) - - - 0.02 10/13(77%) 64 5/6(83%) - - - -
player
Bojang Y.
Defender team
- 37/39(95%) - - - 0.01 7/8(88%) 41 3/4(75%) - - - -
player
Larsen N.
Goalkeeper team
- 19/23(83%) - - - - - 35 3/7(43%) - - - -
player
Madsen A.
Defender team
- 33/39(85%) - - - 0.01 2/4(50%) 61 - - - - -
player
Myhra V.
Goalkeeper team
- 28/28(100%) - - - - 1/1(100%) 40 5/5(100%) - - - -
player
Nielsen J.
Midfielder team
- 3/3(100%) - - - - - 7 - - - - -
player
Ouedraogo I.
Midfielder team
- 17/21(81%) - - - 0.01 5/7(71%) 30 1/1(100%) - - - -
player
Simmelhack A.
Forward team
- 2/4(50%) - - - - - 7 - - - - -
player
Sorensen A.
Defender team
- - 1 - 1 0.17 - 6 - 1/1(100%) - - -
player
Stuker S.
Defender team
- 28/34(82%) - - - 0.01 4/5(80%) 55 1/2(50%) - - - -
player
Westh V.
Midfielder team
- 18/27(67%) - - - 0.01 3/5(60%) 36 - - - 1 -
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Defending
Player Duels Aerial duels Ground duels Foules Tackles Interceptions Clearances Error leading to goal Error leading to shot Own goals
player
Falk R.
Midfielder team
11 2/2(100%) 4/9(44%) 2 3/4(75%) - - - - -
player
Adamsen T.
Forward team
10 - 2/8(25%) - - - 2 - - -
player
Ejdum M.
Midfielder team
10 1/1(100%) 6/9(67%) 2 2/2(100%) - 1 - - -
player
Ganchas P.
Defender team
9 6/6(100%) 1/3(33%) 1 - 3 5 - - -
player
Kirk W.
Midfielder team
9 1/2(50%) 5/7(71%) 1 1/1(100%) 1 1 - - -
player
McCoy M.
Defender team
9 2/4(50%) 3/5(60%) 1 - 1 3 - - -
player
McCowatt C.
Midfielder team
8 1/2(50%) 3/6(50%) - 1/1(100%) 1 1 - - -
player
Arp F.
Forward team
7 - 3/7(43%) - - 3 - - - -
player
Berger S.
Midfielder team
7 - 1/5(20%) 1 - - 1 - - -
player
Burgy N.
Defender team
7 2/1(67%) 2/6(33%) 2 1/2(50%) 1 1 - - -
player
Ganaus N.
Midfielder team
7 - 2/3(67%) - 2/2(100%) - - - - -
player
Stuker S.
Defender team
6 - 4/6(67%) 1 3/4(75%) - 3 - - -
player
Gammelby J.
Defender team
5 1/1(50%) 2/4(50%) - 1/1(100%) - 6 - - -
player
Vikman A.
Midfielder team
5 - 2/5(40%) 1 1/2(50%) 1 3 - - -
player
Westh V.
Midfielder team
5 1/1(50%) 1/4(25%) 1 - 2 - - - -
player
Madsen A.
Defender team
4 1/2(50%) 1/2(50%) - 1/1(100%) 2 16 1 1 -
player
Nielsen J.
Midfielder team
4 1/1(100%) 1/3(33%) 1 1/1(100%) - 1 - - -
player
Ouedraogo I.
Midfielder team
4 - 3/4(75%) 1 2/3(67%) 2 - - 1 -
player
Ross O.
Forward team
4 1/1(100%) 3/3(100%) - - - - - - -
player
Suhonen A.
Midfielder team
4 - 2/4(50%) - 1/1(100%) - - - - -
player
Niemiec J.
Forward team
3 - - 1 - - - - - -
player
Owusu L.
Defender team
3 1/1(100%) 1/2(50%) - 1/1(100%) 5 3 - - -
player
Grot J.
Forward team
2 - - - - - - - - -
player
Simmelhack A.
Forward team
2 - 1/2(50%) - 1/1(100%) - - - - -
player
Bojang Y.
Defender team
1 - - - - - - - - -
player
Martin W.
Forward team
1 - 1/1(100%) - - - - - - -
player
Sorensen A.
Defender team
1 - 1/1(100%) - 1/1(100%) 1 - - - -
player
Larsen M.
Midfielder team
- - - - - - - - - -
player
Larsen N.
Goalkeeper team
- - - - - - 1 - - -
player
Myhra V.
Goalkeeper team
- - - - - - 3 - - -
Goalkeeping
Player Goals prevented Goalkeeper saves xGOT faced Goals Conceded Punches Throws Sweeper keeper actions
player
Larsen N.
Goalkeeper team
0.39 3 2.39 2 1 6 -
player
Myhra V.
Goalkeeper team
-1.32 3 1.68 3 - 6 2
Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.
xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot’s quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team’s total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.

About

03.05.2026 at 08:00 Odense and Silkeborg will play a match as part of the Superliga. The game will be played at the Nature Energy Park. Odense vs Silkeborg score, statistics, and full match live broadcast can be found on azscore.co.za. All this data is accessible and free for all users without registration.

Match information

Odense lineup:
  • Striker: Niemiec Jona
  • Central midfielder: Ouedraogo Ismahila
  • Right winger: Ejdum Max Isaac
  • Left back: McCoy Marcus
  • Central defender: Askou Harvey Julius Berthel
  • Left winger: Arp Fiete
  • Central midfielder: Falk Rasmus
  • Right back: Owusu Leeroy
  • Goalkeeper: Myhra Viljar
  • Central defender: Burgy Nikolas
  • Striker: Ganaus Noah

Odense last matches info:

  • Odense - Vejle (17 May 2026) Nature Energy Park 0:1 Superliga
  • Randers - Odense (11 May 2026) Cepheus Park Randers 2:2 Superliga
  • Odense - Silkeborg (03 May 2026) Nature Energy Park 2:3 Superliga
  • Fredericia - Odense (26 Apr 2026) Monjasa Park 0:2 Superliga
  • Copenhagen - Odense (22 Apr 2026) Parken Stadium 2:1 Superliga

Silkeborg lineup:

  • Central midfielder: Vikman Adam
  • Central midfielder: Westh Villads
  • Central defender: Madsen Alexander
  • Left back: Stuker Simon Fynbo
  • Left winger: Kirk William
  • Right back: Gammelby Jens Martin
  • Right winger: McCowatt Callum
  • Goalkeeper: Larsen Nicolai
  • Central defender: Ganchas Pedro
  • Striker: Adamsen Tonni
  • Central midfielder: Berger Sofus

Silkeborg last matches info:

  • Fredericia - Silkeborg (17 May 2026) Monjasa Park 4:1 Superliga
  • Silkeborg - Copenhagen (10 May 2026) JYSK Park 0:4 Superliga
  • Odense - Silkeborg (03 May 2026) Nature Energy Park 2:3 Superliga
  • Silkeborg - Randers (26 Apr 2026) JYSK Park 2:0 Superliga
  • Vejle - Silkeborg (22 Apr 2026) Vejle Stadium 1:2 Superliga

Odense vs Silkeborg score today will be available at the beginning of the match on 03 May 2026. On azscore.co.za, you will find not only the Odense vs Silkeborg score but the latest score, livescore, results, and fixtures for future matches.

Top bookmakers
1
gift-icon-green 3000 USD Bonus
Bonus
2
gift-icon-green 100 USD Bonus
Bonus
3
gift-icon-green 250 USD Bonus
Bonus
4
gift-icon-green 750 USD Bonus
Bonus
5
gift-icon-green 250 USD Bonus
Bonus
6
gift-icon-green for $19.99 Bonus
Bonus
7
gift-icon-green for $15.99 Bonus
Bonus

Match Info

Date:
3 May 2026, 08:00
Referee:
Funder Svend, Denmark
Stadium:
Nature Energy Park, Odense, Denmark
Capacity:
15761
Get quick access to sports scores and news.
Install this web app on your device: tap and then "Add to Home Screen "
close